Build a Personalized AI Assistant with Postgres

Large Language Models (LLMs) can be integrated with Postgres and several tools to create a personalized AI assistant capable of long-term memory retention and autonomous actions. This system utilizes an LLM-owned database schema, scheduled tasks, real-time web searches, and integrations with external tools like Zapier MCP for extended functionalities, such as managing emails, calendars, and smart home devices. It maintains three types of memory for conversation continuity—Message History, Semantic Memory using vector search, and Structured Memory with SQL data. The assistant operates through scheduled prompts powered by pg_cron and can interact with users via a Telegram Bot or other interfaces. Use cases include tracking portfolios, daily runs, meals, customer feedback, and article bookmarking, with the flexibility to adapt behavior based on user preferences. The project encourages users to build their own AI assistants while maintaining control over their data, with implementation guidance available through a GitHub repository.